Most AI news is noise.
A new demo trends every day. Almost none of it changes a line in anyone's model. The job is not to read more headlines. It is to filter the ones that touch an actual number.
Here is the filter. One question per headline:
-> Does it change revenue, margin, capex, or competitive moat for a company you can name? -> Can you point to where it shows up: a segment, a cost line, a guidance range? -> If you cannot, it is novelty. Interesting, not material.
The common mistake: treating launch announcements as earnings events. A model launch is a press release until it shows up in a 10-Q or a guidance revision. The failure mode is trading the headline and finding out the economics never changed.
The disciplined version: sort every AI headline into material, watchlist, or noise. Material means it maps to a number you can verify in a filing. Watchlist means it might, and you set a checkpoint. Noise gets closed.
AI can summarize the feed fast. It does not get to decide what is material. That is your judgment against the filings.
Save this and run it on your feed this week.
Educational content only. Not investment advice, and not a recommendation to buy, sell, or hold any security. Wall Street Prompt. Always verify against the primary source filing.